Sensitivity and specificity
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Many deep neural networks trained on natural images exhibit a curious phenomenon in common: on the first layer they learn… Expand Behçet's disease (BD) is a chronic, relapsing, inflammatory vascular disease with no pathognomonic test. Low sensitivity of the… Expand In this paper, we intend to formulate a new meta-heuristic algorithm, called Cuckoo Search (CS), for solving optimization… Expand Many clinical tests are used to confirm or refute the presence of a disease or further the diagnostic process. Ideally such tests… Expand We reviewed empirical data and hypotheses derived from demographic, optimal foraging, life-history, community, and biogeographic… Expand The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the… Expand List of Tables and Figures. Preface. Foreword. SECTION I: THE TAXONOMY, EDUCATIONAL OBJECTIVES AND STUDENT LEARNING. 1… Expand Abstract This paper addresses and documents a number of issues related to the implementation of an advanced land surface… Expand !, Model-based vision is firmly established as a robust approach to recognizing and locating known rigid objects in the presence… Expand We have developed a conceptual framework and a set of research guidelines for use in studies of the chronic fatigue syndrome. The… Expand